Research Associate; PhD , m​/f​/d) field of Data-Driven Mechanics

Organisation/Company Technische Universität Braunschweig Department Institute of Applied Mechanics Research Field Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 15 Nov 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

With more than 16,000 students and 3,800 employees, the
Technische Universität Braunschweig
is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.

Our research focuses on mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities.

Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.

Starting from the earliest possible date, the Institute of Applied Mechanics is looking for a

Research Associate (PhD candidate, m/f/d) in the field of Data-Driven Mechanics

(EG 13 TV-L, full-time/part-time)

The position is to be filled on a fixed-term basis for an initial period of 3 years. An extension is intended. The successful applicant will be given the opportunity to pursue a doctorate or to gain further scientific qualifications as a postdoctoral researcher.

Within the Institute of Applied Mechanics, the applicant will be associated with the Division Data-driven modeling of mechanical systems led by Prof. Henning Wessels. The group’s research focuses on the exciting intersection of continuum solid mechanics, machine learning and uncertainty quantification. In this context, our current research interests include, but are not limited to:

• Scientific and physics-informed machine learning
• Parameter identification, model discovery and (statistical) model updating

Further details regarding our research activities and recent publications can be found on our website.

• You will carry out research in the area ofdata-driven mechanics, i.e. design, implement and test computational methods.
• You will publish research findings and participate in national and international conferences.
• You will be involved in teaching at the University (preparation and implementation of courses as well as supervision of students’ work).

Your Qualifications

• You have a strong background in continuum solid mechanics, prior experience in machine learning (and ideally in Bayesian statistics).
• You have experience in and do enjoy coding, in particular with Python and its machine learning libraries such as PyTorch, JAX or Tensorflow. Julia is a plus.
• You have very good English language skills. German language skills are of advantage.
• You are flexible and work well in a team.
• You have a degree (Master’s or equivalent) with a strong focus on continuum solid mechanics and computational methods (for instance in mechanical, civil or computational engineering, applied mathematics, or similar).

We offer

• Access to extensive experimental equipment (and real-world data).
• Latest laptops and compute servers, as well as height-adjustable desks in light-flooded offices.
• Work on exciting future-oriented research topics in an inspiring work…